Energy Usage via Bytecode Profiling Shuai Hao, Ding Li, William G.J. - PowerPoint PPT Presentation

Jun 07, 2023 •227 likes •279 views

Estimating Android Applications CPU Energy Usage via Bytecode Profiling Shuai Hao, Ding Li, William G.J. Halfond, and Ramesh Govindan The Message Goal: Optimize energy efficiency of implementation Important to focus on software

Estimating Android Applications’ CPU Energy Usage via Bytecode Profiling Shuai Hao, Ding Li, William G.J. Halfond, and Ramesh Govindan
The Message • Goal: Optimize energy efficiency of implementation • Important to focus on software implementation • Current techniques inadequately support developers in optimization
The Issues • Power monitors • Speed of feedback • Many diverse • Combinations of components hardware/OS • Static imprecision • Extensive use of system libraries • Level of granularity
eCalc
The Questions 1. What information does an app developer need to make informed energy optimizations? 2. What is the best way to prove the usefulness of such approaches?

Recommend

Calculating Source Line Level Energy Information for Android Applications Ding Li, Shuai Hao,

Calculating Source Line Level Energy Information for Android Applications Ding Li, Shuai Hao, William G.J. Halfond, Ramesh Govindan Department of Computer Science University of Southern California Motivation: App Energy Consumption Battery

647 views • 28 slides

Energy Consumption Using Program Analysis Shuai Hao, Ding Li, William G.J. Halfond, and Ramesh

Estimating Mobile Application Energy Consumption Using Program Analysis Shuai Hao, Ding Li, William G.J. Halfond, and Ramesh Govindan University of Southern California Motivation Smartphones are popular Batteries dont last that long

498 views • 26 slides

An Empirical Study of the Energy Consumption of Android Applications Ding Li, Shuai Hao, Jiaping

An Empirical Study of the Energy Consumption of Android Applications Ding Li, Shuai Hao, Jiaping Gui, William G.J. Halfond Department of Computer Science University of Southern California This work was supported in part by the National Science

1.03k views • 69 slides

Profiling the Memory Usage of OCaml Applications without Changing their Behavior OCaml 2013

Profiling the Memory Usage of OCaml Applications without Changing their Behavior OCaml 2013 agdas Bozman 1 , 2 , 3 C Thomas Gazagnaire 1 Fabrice Le Fessant 2 Michel Mauny 3 OCamlPro 1 | INRIA 2 | ENSTA-ParisTech 3 Sept. 24 2013 - Boston (MA)

713 views • 18 slides

Centralized and Decentralized Control for Demand Response Project team: Shuai Lu (PI) Harold

Centralized and Decentralized Control for Demand Response Project team: Shuai Lu (PI) Harold Kirkham Presented by: Nader Samaan Ruisheng Diao Shuai Lu Marcelo Elizondo Chunlian Jin Ebony Mayhorn Yu Zhang Energy and Environment Seminar

846 views • 25 slides

Commercial Energy Usage District Fuel We have reduced Fuel Usage FY03 - FY08 our average

Commercial Energy Usage District Fuel We have reduced Fuel Usage FY03 - FY08 our average yearly fuel usage by 58,255 250000.00 gallons. Energy Plan Begins There is still more 200000.00 we can save. Current prices are high so it

351 views • 8 slides

Clarity Measure, manage and forecast your energy usage Energy management is a business issue

Clarity Measure, manage and forecast your energy usage Energy management is a business issue Controlling energy usage is increasingly a financial and operational imperative for organisations. We understand that achieving that control can be

1.07k views • 58 slides

Pr Profiling Energy Consumption of DASH Video St Streaming over 4G 4G LTE Networks Pr

Pr Profiling Energy Consumption of DASH Video St Streaming over 4G 4G LTE Networks Pr Profiling Energy Consumption of DASH Video St Streaming ov over 4G 4G LTE Ne Networks Jingyu Zhang 12 , Gan Fang 1 , Chunyi Peng 1 , Minyi Guo 2 , Sheng

428 views • 22 slides

Profiling and Autotuning for Energy- Aware Approximate Programming

Profiling and Autotuning for Energy- Aware Approximate Programming Michael Ringenburg, Adrian Sampson, Luis Ceze, and Dan Grossman MoEvaEon ApproximaEon has

657 views • 20 slides

Ftrace Profiling Presenter: Steven Rostedt rostedt@goodmis.org Red Hat What do you want to

Ftrace Profiling Presenter: Steven Rostedt rostedt@goodmis.org Red Hat What do you want to profile? Application Cache misses Memory locality Page faults Finding bad algorithms O(n^2) CPU cycles I/O usage What do

554 views • 43 slides

Leaving no one behind The role of evidence-building and profiling to include displacement in

Leaving no one behind The role of evidence-building and profiling to include displacement in recovering and development processes Natalia Krynsky Baal , Coordinator, Joint IDP Profiling Service WHAT IS PROFILING? Defining profiling A

439 views • 12 slides

Save Energy and Improve IAQ Presenter: Tony Abate AtmosAir Solutions Where Does Energy Go?

Save Energy and Improve IAQ Presenter: Tony Abate AtmosAir Solutions Where Does Energy Go? Commercial Buildings in the US consume 18% of total energy usage 40% of that energy is used by the HVAC systems HVAC energy usage

486 views • 12 slides

Making Web Applications More Energy Efficient for OLED Smartphones Ding Li, Angelica Huyen Tran,

Making Web Applications More Energy Efficient for OLED Smartphones Ding Li, Angelica Huyen Tran, William G.J. Halfond University of Southern California Work supported by NSF Grant CCF-1321141 Motivation Energy is a critical resource for

377 views • 27 slides

Cha lle ng e s with K e y Me ssa g e s Bre a stfe e ding & b o ttle -fe e ding Ba

Cha lle ng e s with K e y Me ssa g e s Bre a stfe e ding & b o ttle -fe e ding Ba b y te e th ma tte r Be ne fits o f fluo ride to o ra l he a lth Ac c e ss to De nta l Ca re Re g iste ring a c hild fo r no

784 views • 40 slides

Profiling Redox and Energy Coenzymes in Tissue and Blood using NMR Spectroscopy G. A. Nagana Gowda

Profiling Redox and Energy Coenzymes in Tissue and Blood using NMR Spectroscopy G. A. Nagana Gowda 1,2 *, Lauren Abell 2 , Chi Fung Lee 2 , Rong Tian 2 and Daniel Raftery 1,2 * 1 Northwest Metabolomics Research Center and 2 Mitochondria and

318 views • 28 slides

Detecting Display Energy Hotspots in Android Apps Mian Wan, Yuchen Jin, Ding Li and William G. J.

Detecting Display Energy Hotspots in Android Apps Mian Wan, Yuchen Jin, Ding Li and William G. J. Halfond Motivation See Zhang (2013) Power, Performance Modeling and Optimization for Mobile System and Applications 2 Display Energy

333 views • 31 slides

Profiling of Algorithms Profiling refers to the experimental measurement of the performance of

Profiling of Algorithms Profiling refers to the experimental measurement of the performance of algorithms. Profiling techniques fall into two main categories: Instruction counting the number of times which particular instruction(s)

672 views • 19 slides

COZ : Finding Code that Counts with Causal Profiling Anuja Golechha Agenda Profiling

COZ : Finding Code that Counts with Causal Profiling Anuja Golechha Agenda Profiling Issues with current profilers Causal profiling COZ Overview and Implementation COZ Evaluation Comparison with Pivot Tracing

660 views • 23 slides

An introduction to Profiling Physics Coding Club: 09/06/2017 D. Dickinson

An introduction to Profiling Physics Coding Club: 09/06/2017 D. Dickinson (d.dickinson@york.ac.uk) Overview What is meant by profiling? Why do we care about profiling? How do we do profiling? Specific example using Scalasca

912 views • 22 slides

Mechanisms and Algorithms Shuai Yuan, MediaGamma Ltd Weinan Zhang, UCL Jun Wang, UCL

ECIR16 Tutorial Real-Time Bidding based Display Advertising: Mechanisms and Algorithms Shuai Yuan, MediaGamma Ltd Weinan Zhang, UCL Jun Wang, UCL Shuai.yuan@mediagamma.com {w.zhang, j.wang}@cs.ucl.ac.uk Table of contents RTB system

1.31k views • 101 slides

Profiling of Data-Parallel Processors Daniel Kruck 09/02/2014 09/02/2014 Profiling Daniel

Profiling of Data-Parallel Processors Daniel Kruck 09/02/2014 09/02/2014 Profiling Daniel Kruck 1 / 41 Outline Motivation 1 Background - GPUs 2 Profiler 3 NVIDIA Tools Lynx Optimizations 4 Conclusion 5 09/02/2014 Profiling

441 views • 41 slides

FCAL : Smart Solar Cooking 1 2 3 Motivation 3,771,983,700 kWh of energy usage for cooking

FCAL : Smart Solar Cooking 1 2 3 Motivation 3,771,983,700 kWh of energy usage for cooking in the United States 4 Globally... Source: International Energy Agency (2013) 7.05 PWh = 7,050,000,000,000 kWh 5 6 The Broader Issue Source:

701 views • 31 slides

Solar Energy Conversion: A very brief introduc8on Chem 204

Solar Energy Conversion: A very brief introduc8on Chem 204 April 7, 2014 Worldwide energy usage Worldwide energy usage Now: about 15 TW (15 x

445 views • 28 slides

Introducing Java Profiling via Flame Graphs Agustn Gallego Support Engineer - Percona

Introducing Java Profiling via Flame Graphs Agustn Gallego Support Engineer - Percona Agenda What are Flame Graphs? What is the USE method? Setting up the environment Basic usage A case study There's even more

926 views • 29 slides